Hansen, Nicklas

24 publications

ICLR 2025 Hierarchical World Models as Visual Whole-Body Humanoid Controllers Nicklas Hansen, S V Jyothir, Vlad Sobal, Yann LeCun, Xiaolong Wang, Hao Su

ICML 2025 Multi-Stage Manipulation with Demonstration-Augmented Reward, Policy, and World Model Learning Adrià López Escoriza, Nicklas Hansen, Stone Tao, Tongzhou Mu, Hao Su

NeurIPS 2025 MyoChallenge 2024: A New Benchmark for Physiological Dexterity and Agility in Bionic Humans Cheryl Wang, Chun Kwang Tan, Balint K Hodossy, Shirui Lyu, Pierre Schumacher, James Heald, Kai Biegun, Samo Hromadka, Maneesh Sahani, Gunwoo Park, Beomsoo Shin, JongHyun Park, Seungbum Koo, Chenhui Zuo, Chengtian Ma, Yanan Sui, Nicklas Hansen, Stone Tao, Yuan Gao, Hao Su, Seungmoon Song, Letizia Gionfrida, Massimo Sartori, Guillaume Durandau, Vikash Kumar, Vittorio Caggiano

ICLR 2025 PWM: Policy Learning with Multi-Task World Models Ignat Georgiev, Varun Giridhar, Nicklas Hansen, Animesh Garg

NeurIPS 2024 A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data Adrian Remonda, Nicklas Hansen, Ayoub Raji, Nicola Musiu, Marko Bertogna, Eduardo E. Veas, Xiaolong Wang

ICLR 2024 TD-MPC2: Scalable, Robust World Models for Continuous Control Nicklas Hansen, Hao Su, Xiaolong Wang

CoRL 2023 Finetuning Offline World Models in the Real World Yunhai Feng, Nicklas Hansen, Ziyan Xiong, Chandramouli Rajagopalan, Xiaolong Wang

CoRL 2023 GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields Yanjie Ze, Ge Yan, Yueh-Hua Wu, Annabella Macaluso, Yuying Ge, Jianglong Ye, Nicklas Hansen, Li Erran Li, Xiaolong Wang

ICLR 2023 MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran

ICML 2023 On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang

ICLR 2023 On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning Yifan Xu, Nicklas Hansen, Zirui Wang, Yung-Chieh Chan, Hao Su, Zhuowen Tu

NeurIPSW 2023 TD-MPC2: Scalable, Robust World Models for Continuous Control Nicklas Hansen, Hao Su, Xiaolong Wang

CoRL 2022 Graph Inverse Reinforcement Learning from Diverse Videos Sateesh Kumar, Jonathan Zamora, Nicklas Hansen, Rishabh Jangir, Xiaolong Wang

NeurIPSW 2022 Graph Inverse Reinforcement Learning from Diverse Videos Sateesh Kumar, Jonathan Zamora, Nicklas Hansen, Rishabh Jangir, Xiaolong Wang

ICLR 2022 Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers Ruihan Yang, Minghao Zhang, Nicklas Hansen, Huazhe Xu, Xiaolong Wang

NeurIPSW 2022 MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran

NeurIPSW 2022 On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning Yifan Xu, Nicklas Hansen, Zirui Wang, Yung-Chieh Chan, Hao Su, Zhuowen Tu

NeurIPSW 2022 On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning Yifan Xu, Nicklas Hansen, Zirui Wang, Yung-Chieh Chan, Hao Su, Zhuowen Tu

NeurIPSW 2022 Visual Reinforcement Learning with Self-Supervised 3D Representations Yanjie Ze, Nicklas Hansen, Yinbo Chen, Mohit Jain, Xiaolong Wang

NeurIPSW 2021 Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers Ruihan Yang, Minghao Zhang, Nicklas Hansen, Huazhe Xu, Xiaolong Wang

NeurIPSW 2021 Look Closer: Bridging Egocentric and Third-Person Views with Transformers for Robotic Manipulation Rishabh Jangir, Nicklas Hansen, Sambaran Ghosal, Mohit Jain, Xiaolong Wang

ICLR 2021 Self-Supervised Policy Adaptation During Deployment Nicklas Hansen, Rishabh Jangir, Yu Sun, Guillem Alenyà, Pieter Abbeel, Alexei A Efros, Lerrel Pinto, Xiaolong Wang

NeurIPS 2021 Stabilizing Deep Q-Learning with ConvNets and Vision Transformers Under Data Augmentation Nicklas Hansen, Hao Su, Xiaolong Wang

ICMLW 2021 Stabilizing Deep Q-Learning with ConvNets and Vision Transformers Under Data Augmentation Nicklas Hansen, Hao Su, Xiaolong Wang